• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.379-385
• /
• 2008

콘크리트 건물의 보수 작업은 표면에 발생하는 균열을 정확하게 계측함으로써 비용적인 측면과 안전성이 결정된다. 하지만 표면에 발생한 균열은 대부분 점검자에 의해 수작업으로 계측되기 때문에 시간적 측면에서 비효율적이다. 따라서 본 논문에서는 콘크리트 슬래브 표면에 발생한 균열의 밝기와 밀도 그리고 면적 특징을 이용한 균열 검출 기법을 제안한다. 제안된 균열 검출 방법은 콘크리트 슬래브 표면의 명암도와 위치 정보를 ART2 기반 양자화에 적용한 후, 균열과 인접한 배경간의 명암도 차이를 이용하여 균열과 인접한 배경을 분리한다. 균열과 인접한 배경이 분리된 영상에서 형태학적인 정보를 이용하여 세부적인 잡음을 제거한 후에 최종적으로 균열 영역을 검출한다. 실제 콘크리트 균열 영상을 대상으로 실험한 결과, 다양한 콘크리트 균열 영상에서 기존의 방법보다 균열 검출 성능이 개선되었음을 확인하였다.

• Journal of the Institute of Convergence Signal Processing
• /
• v.10 no.2
• /
• pp.112-119
• /
• 2009

This paper describes a robust visual surveillance algorithm under outdoor environment. One of the difficult problems for outdoor is to obtain effective updating process of background images. Because background images generally contain the shadows of buildings, trees, moving clouds and other objects, they are changed by lapse of time and variation of illumination. They provide the lowering of performance for surveillance system under outdoor. In this paper, a robust algorithm for visual surveillance system under outdoor is proposed, which apply the mixture Gaussian filter and color invariant property on pixel level to update background images. In results, it was showed that the moving objects can be detected on various shadows under outdoor.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
• /
• 2007.05a
• /
• pp.53-56
• /
• 2007

본 연구는 아동들이 선호하는 색상을 초등학교의 사용시 과연 현재 적용되고 있는 색상과 이론적 배경에서의 색상이론이 면적대비에 상응하는 것인가에 대한 연구이다. 본 연구에서는 VR-Test를 통하여 아동의 색채선호 색상이 건물외벽에 적용시 면적효과에 따라 색채선호도의 변화량을 측정하는데 그 목적이 있다.

• Proceedings of the Korean Nuclear Society Conference
• /
• 1995.05b
• /
• pp.937-941
• /
• 1995

한국원자력연구소는, 지금까지 연구로 1호(250 ㎾)는 33년째, 연구로 2호(2 ㎿)는 23년째 운전하고 있다 그러나 이들 연구로는 노후하였고, 새로운 연구로 하나로(30 ㎿)가 금년 4월에 준공하였으며, 현재의 연구로 1, 2호가 있는 부지와 건물은 한국전력공사의 소유물이라는 이유로, 금년 말까지 연구로 1, 2호는 폐로할 계획으로 있다 이 논문에는 연구로 1,2호기에 대한 1)폐로 계획의 배경, 2)연구로의 이력, 3)폐로 계획 등을 기술하고 있다.

• The Science & Technology
• /
• v.6 no.7 s.50
• /
• pp.7-10
• /
• 1973

(1)제2연구단지건설배경 1.연구단지(연구학원도시)의 개념 2.제2연구단지건설의 필요성 3.제1연구단지의 선험 4.우리나라 연구단지의 앞으로의 전망 가.수원농업기술 개발 단지 나.홍릉 제1연구단지 다.제2연구단지 5.외국의 사례 (2)제2연구단지건설계획의 경위 (3)제2연구단지건설계획(시안) 1.계획의 기조 2.이전대상기관(1차계획) 3.단지의 구성 4.건물배치 및 설계방향

• KIEAE Journal
• /
• v.10 no.5
• /
• pp.109-114
• /
• 2010

There are many business in complex building, and recently noise claims have increased in those buildings. It is one of the most desirable methods reducing the noise level to establish the noise criteria considering the admittable noise level between the source and receiving room, which are to be derived from the subjective response in the real conditions. Because the degree of annoyance and loudness for the intruding noises in complex building could be changed with background noise level, it is suggested to be researched the relationship between the noise levels and subjective response. In this study, the subjective response for three different background levels in receiving business or rooms were investigated for the typical eight business noise source including aerobic music. The results can be summarized as follows. In conditions of low background noise level(40 dB(A)), there is a tendency of intentionally attention situation (listening) in a subjective test. The other hand in conditions of relatively high background noise level(50 dB(A)), there is a unconscious situation (heraing). As the degree of moderately heard or annoyed in SD rating scale means that the noise is easily recognized in neighboring shops, usually the limit of noise criteria were decided on this rating point, so it will be reasonable to be adopted the criteria rating scale as slight heard or annoyed degree (SD criteria 3).

• Journal of the Korea Institute of Building Construction
• /
• v.24 no.3
• /
• pp.363-370
• /
• 2024

The escalating frequency and intensity of natural disasters and extreme weather events due to climate change have caused increasingly severe damage to societal infrastructure and buildings. Government agencies and private companies are actively working to evaluate these damages, but existing technologies and methodologies often fall short of meeting the practical demands for accurate assessment and prediction. This study proposes a novel approach to assess building damage resulting from natural disasters, focusing on typhoons-one of the most devastating natural hazards experienced in the country. The methodology leverages deep learning algorithms to evaluate typhoon-related damage, providing a comprehensive framework for assessment. The framework and outcomes of this research can provide foundational data for the evaluation of natural disaster-induced damage over the entire life cycle of buildings and can be applied in various other industries and research areas for assessing risk of damage.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.8 no.3
• /
• pp.620-626
• /
• 2007

The main objective of this study is to analyze setback patterns of the super-highrise residential buildings in respect to the formal variations of the floor plans. Along with the illumination of the definition of setback, the early part of the paper attempts to establish criteria for the analysis of the setback cases. The research of 38 setback floor plans as well as the typical floor plans of 17 super-highrise buildings carried out through analysis criterions under three categories; physical features, primary causes, and formal types of setback. The result shows a method of evaluating setbacks and setback's potentials in designing the super-highrise buildings for the variation of building form, size, and type.

• Journal of Korean Society for Geospatial Information Science
• /
• v.6 no.1 s.11
• /
• pp.19-26
• /
• 1998

In general, GIS provides a user with geographical information according to his requirements after a computer stores digitized spatial data from real scenes. Geographical information from digitized spatial data lacks of reality due to the exclusion of real scenes. However, Augmented Reality(AR) allows a user to see the real world with virtual objects superimposed upon or composited with the real world. Therefore it enhances a user's perception of the real world. In this paper, we present the development on 3D geographical information guide system using augmented reality that displays the real world with virtual objects such as building name, road name, etc., in real time.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.10
• /
• pp.77-83
• /
• 2020

The technologies of 3D spatial information, such as Smart City and Digital Twins, are developing rapidly for managing land and solving urban problems scientifically. In this construction of 3D spatial information, an object using aerial photo images is built as a digital DB. Realistically, the task of extracting a texturing image, which is an actual image of the object wall, and attaching an image to the object wall are important. On the other hand, occluded areas occur in the texturing image. In this study, the ResNet algorithm in deep learning technologies was tested to solve these problems. A dataset was constructed, and the street tree was detected using the ResNet algorithm. The ability of the ResNet algorithm to detect the street tree was dependent on the brightness of the image. The ResNet algorithm can detect the street tree in an image with side and inclination angles.